Instructions to use mrfakename/HiDream-I1-Fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mrfakename/HiDream-I1-Fast with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mrfakename/HiDream-I1-Fast", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 513b1fb587e4b45d4f05101959668978df22e8c20f407365ed1ce49f1be066ba
- Size of remote file:
- 4.98 GB
- SHA256:
- d8ffd12e207e8f6e628c67dc7ac6989584681e07541d22d4ddb3950d28b3b057
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.